Mistral AI · LLM API pricing
Codestral 25.01 API pricing: cheapest provider
2 providers sell Codestral 25.01. Google Cloud Vertex AI is cheapest; the most expensive charges 1.5× as much for the same model.
- Cheapest$0.30per 1M · Google Cloud Vertex AI
- Input · output$0.20 / $0.60per 1M tokens
- Price gap1.5×across 2 providers
- Context256Kmax tokens
Standard list prices in USD from each provider's pricing page · last price change Sep 28, 2026 · How we collect and rank prices
Ranked for your volume
Codestral 25.01 monthly cost by provider
Change the monthly tokens and the ranking updates instantly, using each provider's standard list price.
More requirements: caching, context, features, provider
| Provider | Estimated / month | Input / 1M | Output / 1M | Context |
|---|---|---|---|---|
1 Google Cloud Vertex AICloud platform - lowest for your volumePricing page | $3.20 | $0.20 | $0.60 | 128,000 |
2 Microsoft Azure AI FoundryCloud platformPricing page | $4.80 | $0.30 | $0.90 | 256,000 |
Order depends on listed price for your volume only. No provider pays for its position.
Input volume includes the cached share, not an additional token volume. This is a list-price estimate, not a quote: cache-write charges, cache eligibility/TTL, batch discounts, long-context surcharges, regional pricing and taxes are excluded. Check the provider's terms for your workload before switching.
Price history
The cheapest price has not changed since tracking started on Sep 28, 2026: $0.30 per 1M tokens at Google Cloud Vertex AI. All price changes
Compare Codestral 25.01 with another model
Or pick any model
Before you pick a provider
Context windows differ by provider, from 128K to 256K tokens. A cheaper host may not accept your longest prompts.
Keep comparing
More Mistral AI models
mistral-nemo-instruct-2407, Mistral Large, Mistral Small 3.1, mistral-small-3.2-24b-instruct-2506, mixtral-8x7b-instruct, mixtral-8x7b-instruct-v0.1, Ministral 3B, ministral-3-14b-instruct-2512
All Mistral AI API prices - All LLM API prices - Watch Codestral 25.01 prices (RSS) - Methodology